W. J. Zhu

ORCID: 0009-0007-9879-1443
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • Quantum Chromodynamics and Particle Interactions
  • High-Energy Particle Collisions Research
  • Black Holes and Theoretical Physics
  • Dark Matter and Cosmic Phenomena
  • Neutrino Physics Research
  • Atomic and Subatomic Physics Research
  • Computational Physics and Python Applications
  • Wireless Signal Modulation Classification
  • Machine Learning and ELM
  • Sparse and Compressive Sensing Techniques
  • Muon and positron interactions and applications
  • Artificial Intelligence in Healthcare
  • School Choice and Performance
  • Anomaly Detection Techniques and Applications
  • Radar Systems and Signal Processing
  • Scheduling and Timetabling Solutions
  • Cold Atom Physics and Bose-Einstein Condensates
  • Advanced SAR Imaging Techniques

Institute of Modern Physics
2021-2024

Fudan University
2021-2024

Xi’an University of Posts and Telecommunications
2023

Nankai University
2019-2021

This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed training testing the model, evaluating its performance, conducting validations explore most suitable algorithm. Clinical information, including demographic data, examination results, medical history, laboratory test collected inpatients The LASSO algorithm utilized feature selection, multiple...

10.1186/s12911-025-02943-7 article EN cc-by-nc-nd BMC Medical Informatics and Decision Making 2025-03-11
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